Collaborative intelligence and data-driven decision making within agricultural industry
Purpose and goal
The project concerns a continued prototype development of a platform for collaborative intelligence and decision support in the agriculture industry. Technical development focuses on visualization of collected data (weather and production data) and further development and testing of algorithms for learning systems using Artificial Intelligence. An IPR strategy will be produced which prepares for the exploitation phase and here the protection of the brand is an important component.
Expected results and effects
Skira´s vision is that the agribusiness drives a sustainable technical development. The goal is to empower farmers with a ubiquitous access to experience and knowledge belonging to thousands of farmers. This increase in individual knowledge capital driven by cooperation is what Skira means by collaborative intelligence - "united we stand, divided we fall". The expected result is that farmers at all times will have access to relevant scientific facts, with the effect that you as a business man can make well-informed decisions before, during and after production.
Planned approach and implementation
The project consists of 7 subactivities: 1) Continued prototype development Visualization data 2) Continued prototype development and testing of Learning system 3) User Test Demoversion - Validate Scalable Business Model 4) Revision prototype 5) Market conditions European market 6) Project coordination and reporting 7) IP strategy and brand protection